Streaming

Each event flows through a series of transformation stages, with built-in support for filtering, mapping, and conditional routing.

Metrics are published to standard formats (Prometheus, CloudWatch, DataDog) with zero configuration.

const batch = stream.pipe(filter((e) => e.type === 'payment'), batch(100), debounce(5000));

The core relaydb object is a lightweight wrapper that manages the lifecycle of your event stream.

Streaming

Rate limiting is built in: configure token buckets, sliding windows, or adaptive limits that respond to backpressure.

const throttled = stream.throttle( rps: 100, burst: 200 ); const deduplicated = stream.dedup( key: 'event.id', window: 60000 );

Graceful shutdown waits for in-flight events to complete, then closes connections cleanly—no lost events, no crashes.